# Domain: Community Detection

# Overview

# Dataset List

We use benchmark tool to generate synthetic networks with 1000 nodes as the ground truth. The LFR-benchmark parameters are set as follows:
Number of nodes: 1000
Average degree: 20
Maximum degree: 100
Exponent for the degree distribution: 2
Exponent for the community size distrib... |

BASELINE | NMI | Evaluation |
---|---|---|

OSLOM | 0.7309 | Detail |

Infomap | 0.0000 | Detail |

Louvain | 0.0000 | Detail |

We use benchmark tool to generate synthetic networks with 1000 nodes as the ground truth. The LFR-benchmark parameters are set as follows:
Number of nodes: 1000
Average degree: 20
Maximum degree: 100
Exponent for the degree distribution: 2
Exponent for the community size distrib... |

BASELINE | NMI | Evaluation |
---|---|---|

OSLOM | 1.0000 | Detail |

Infomap | 0.9941 | Detail |

Louvain | 0.9018 | Detail |

We use benchmark tool to generate synthetic networks with 1000 nodes as the ground truth. The LFR-benchmark parameters are set as follows:
Number of nodes: 1000
Average degree: 20
Maximum degree: 100
Exponent for the degree distribution: 2
Exponent for the community size distrib... |

BASELINE | NMI | Evaluation |
---|---|---|

OSLOM | 0.9960 | Detail |

Infomap | 0.9318 | Detail |

Louvain | 0.6000 | Detail |